CN104717474B - Image processing method, module and the electronic equipment comprising it - Google Patents
Image processing method, module and the electronic equipment comprising it Download PDFInfo
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- CN104717474B CN104717474B CN201310715054.1A CN201310715054A CN104717474B CN 104717474 B CN104717474 B CN 104717474B CN 201310715054 A CN201310715054 A CN 201310715054A CN 104717474 B CN104717474 B CN 104717474B
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Abstract
The present invention provides a kind of image processing method, module and the electronic equipment comprising it, and described image processing method comprises the following steps.First, whether detecting has moire fringes region based on the first image produced by the color filter array of Bel's figure.Then, the first image is subjected to color gamut conversion, to produce the second image based on RGB colour gamut.Then, if the first image has moire fringes region, compensated for the multiple sub-pixels of part in the moire fringes region of the second image, to produce the 3rd image, wherein the moire fringes region of the second image corresponds to the moire fringes region of the first image.
Description
Technical field
It is a kind of to detect with eliminating moire fringes (moir the invention relates to a kind of image processing method, and particularly
Image processing method, module and the electronic equipment comprising it é).
Background technology
In digitized video, if there is the texture of fine groove in the object being taken, usually occur baffled such as water
The same striped of ripple and strange color, here it is moire fringes (moir é).The image either shot with advanced digital camera,
Or the image of scanning, it is possible to the phenomenon occur.When on object careful pattern (the braiding lines on such as fabric, or
On building very close to parallel line) with image-forming assembly on pattern overlap when, then may produce this phenomenon.In numeral
In image field, moire fringes are always masty problem.
Still further aspect, photosensory assembly (such as Charged Coupled Device (Charge-Coupled Device, CCD) or complementation
Metal-oxide-semiconductor (MOS) (CMOS) photosensory assembly) in photosensitive unit (cell) be typically according to certain specific order of arrangement, to illustrate
For, Bel's figure (Bayer pattern) is a kind of common arrangement mode of photosensitive unit.Because photosensitive unit in itself can not
Recognize color, it is therefore desirable to obtain the sub- picture of multiple colors of each pixel through four color filters of Bel's figure
Element.
Please accordingly reference picture 1, Fig. 1 is the schematic diagram of the color filter array of Bel's figure.Four pictures are had in Fig. 1
Element 11, based on the arrangement mode of Bel's figure, each pixel 11 have corresponding first green sub-pixels Gr, red sub-pixel R,
Blue subpixels B and the second green sub-pixels Gb.In other words, there are each Bel figure two green color filters to scheme positioned at Bel
The upper left corner and the lower right corner, and with the red upper right corner and the lower left corner for being located at Bel's figure with green color filter, and multiple shellfishes
Your figure is arranged adjacent one another, and forms the color filter array of Bel's figure.In addition, each photosensitive unit one color of correspondence
Optical filter correspondence, and the sub-pixel of this color of correspondence can be obtained.
By upper it is known that when the sky of the striped in the spatial frequency and the object that is taken of the arrangement mode of photosensitive unit
Between frequency it is close when, in other words fringe spacing close to pixel width when, the moire fringes are possible to result from electronics
Device senses the image of acquisition.Still further aspect, moire fringes are relevant to above-mentioned Bel's figure, therefore the black and white bar in moire fringes region
Partially red or partially blue color may be presented in line.
For at present, the manufacturer of electronic installation can select the higher Charged Coupled Device of resolution ratio or complementary gold oxygen partly to lead
Body-sensing optical assembly, to reduce the probability of moire fringes appearance.In addition, the manufacturer for also having electronic installation can be used with LPF
The camera lens of function eliminates moire fringes, but corresponding cost is then image to fog.In addition, also there is transmission will at present
The photosensitive unit of Charged Coupled Device or complementary metal oxide semiconductor photosensory assembly is arranged with other arrangement modes and rubbed to eliminate
The method of your line, and the photosensory assembly cost of such a high-order is higher, also differing surely is completely eliminated moire fringes.In addition, user
The image based on RGB (RGB) colour gamut or poor (YCbCr) colour gamut of YC can also be directed to after being imaged or taking pictures with mesh
Depending on specifying moire fringes region manually, progress Fuzzy Processing is then operated to eliminate moire fringes again, however, this practice needs user
Participate in manually, thus it is for user and inconvenient, and can not comprehensively eliminate moire fringes.Sum it up, not having also at present
For the image produced by the color filter array based on Bel's figure eliminate the good method or device of moire fringes.
The content of the invention
The embodiment of the present invention provides a kind of image processing method, and described image processing method comprises the following steps.First,
Whether detecting has moire fringes region based on the first image produced by the color filter array of Bel's figure.Then, by first
Image carries out color gamut conversion, to produce the second image based on RGB colour gamut.Then, if the first image has moire fringes area
Domain, then compensate for the multiple sub-pixels of part in the moire fringes region of the second image, to produce the 3rd image, wherein second
The moire fringes region of image corresponds to the moire fringes region of the first image.
The embodiment of the present invention provides a kind of image processing module, and this image processing module includes arrangement for detecting, conversion equipment
With compensation device, conversion equipment electric property coupling arrangement for detecting, and compensation device electric property coupling arrangement for detecting and conversion equipment.Detecting
Whether device detecting has moire fringes region based on the first image produced by the color filter array of Bel's figure.Conversion equipment
First image is subjected to color gamut conversion, to produce the second image based on RGB colour gamut.If the first image has moire fringes area
Domain, then compensation device compensated for the multiple sub-pixels of part in moire fringes region of the second image, to produce the 3rd image,
The moire fringes region of wherein the second image corresponds to the moire fringes region of the first image.
The embodiment of the present invention provides a kind of electronic equipment, and this electronic equipment includes：Control unit and imaging unit；Wherein,
The control unit is to control the imaging unit；The imaging unit includes：Image processing module as described above.
In summary described, the embodiments of the invention provide a kind of image processing method and module.Described image processing side
Method and module system can be for being detected, with automatically based on the first image produced by the color filter array of Bel's figure
The moire fringes region of the first image is obtained, and the first image is further being converted to second based on RGB colour gamut
After image, the moire fringes region of the second image is compensated, to produce the 3rd image without moire fringes.
In order to be able to be further understood that the present invention, to reach technology, method and the effect that set purpose is taken, is referred to
Below in connection with detailed description of the invention, accompanying drawing, used however, appended accompanying drawing is only provided with reference to explanation, not for this hair
It is bright to be any limitation as.
Brief description of the drawings
Fig. 1 is the schematic diagram of the color filter array of Bel's figure.
Fig. 2 is the block diagram of the electronic installation with imaging function of the embodiment of the present invention.
Fig. 3 is the flow chart of the image processing method of the embodiment of the present invention.
The flow chart for the step of Fig. 4 is the detecting moire fringes region of the embodiment of the present invention.
Fig. 5 is flow chart the step of being compensated to moire fringes region of the embodiment of the present invention.
Fig. 6 be the embodiment of the present invention detecting based on the first image produced by the color filter array of Bel's figure whether
There is the schematic diagram in moire fringes region.
Fig. 7 is the part sub-pixel value of the first image produced by Fig. 6 color filter array based on Bel's figure
Schematic diagram.
Fig. 8 is the detecting of another embodiment of the present invention based on the first image produced by the color filter array of Bel's figure
Whether the schematic diagram in moire fringes region is had.
Fig. 9 is the part sub-pixel value of the first image produced by Fig. 8 color filter array based on Bel's figure
Schematic diagram.
Wherein, description of reference numerals is as follows：
11：Pixel
Gr, Gr11~Gr14, Gr21~Gr24, Gr31~Gr34, Gr41~Gr44：First green sub-pixels
Gb, Gb11~Gb14, Gb21~Gb24, Gb31~Gb34, Gb41~Gb44：Second green sub-pixels
R, R11~R14, R21~R24, R31~R34, R41~R44：Red sub-pixel
B, B11~B14, B21~B24, B31~B34, B41~B44：Blue subpixels
S31~S34, S321~S327, S331~S334：Steps flow chart
2：Electronic installation with imaging function
21：System on Chip/SoC
22：Imaging system
221：Image sensing module
222：Cache module
223：Image processing module
2231：Arrangement for detecting
2232：Conversion equipment
2233：Compensation device
224：Storage module
Embodiment
The embodiment of the present invention provides a kind of image processing method and module, described image processing method and module system to based on
The first image produced by the color filter array of Bel's figure is detected, to find out the moire fringes area of described first image
Domain, and then the sub-pixel value in the moire fringes region is compensated, to eliminate the moire fringes.In addition, the present invention is real
Apply example and additionally provide a kind of above-mentioned image processing method of use and the electronic installation with imaging function of module.
Through examining and studying, in the moire fringes region of the first image, multiple first green subpixel values understand that
This is close (that is, the Variant statistical value between multiple first green subpixel values is less than the first difference value, or any two first
The absolute value of the difference value of green sub-pixels matter is smaller than the first difference value), multiple second green subpixel values can be near one another
(that is, the Variant statistical value between multiple second green subpixel values is less than the second difference value, or any two the second green
The absolute value of the difference value of pixel matter is smaller than the second difference value), and the multiple first green subpixel values with it is the multiple
Then relatively large (that is, the multiple first green subpixel values and the multiple the of difference between second green subpixel values
Variant statistical value between two green subpixel values is more than threshold values).Therefore, based on above-mentioned ad hoc rules, described image processing
Method can detect the moire fringes region that the moire fringes sub-pixel in the first image is formed with module.
What deserves to be explained is, the Variant statistical value between above-mentioned multiple first green subpixel values can be multiple first green
The absolute value of variance (variance), the absolute value of difference value summation or difference average value between sub-pixels value, it is above-mentioned
Variant statistical value between multiple second green subpixel values can be variance between multiple second green subpixel values, difference
The absolute value of different value summation or the absolute value of difference average value, and above-mentioned multiple first green subpixel values and the multiple second greens
Variant statistical value between sub-pixel value can be between multiple first green subpixel values and multiple second green subpixel values
Mutual variance (co-variance), the summation of multiple first green subpixel values it is total with multiple second green subpixel values
And between difference value absolute value or average value and multiple second green subpixel values of multiple first green subpixel values
The absolute value of difference value between average value.
In addition, the above-mentioned sub-pixel value to the moire fringes region is compensated, can in the way of eliminating the moire fringes
Realize in the following manner.First, described image processing method can carry out color gamut conversion with module to image, and the first image is changed
For the second image based on RGB colour gamut, wherein the moire fringes region of the second image corresponds to the moire fringes area of the second image
Moire fringes sub-pixel is judged as in domain, that is, the first image after color gamut conversion, the sub-pixel corresponding to after conversion is also
It is judged as moire fringes sub-pixel.Then, described image processing method and module according to the moire fringes region of the first image the
One green sub-pixels average value, the second green sub-pixels average value and blue subpixels average value obtain blue subpixels compensation
Value, and the first green sub-pixels average value in moire fringes region according to the first image, the second green sub-pixels average value with
Red sub-pixel average value obtains red sub-pixel offset.Then, for the second image moire fringes region each is red
Sub-pixels, pair in the moire fringes region of the second image is compensated according to correspondence green subpixel values with red sub-pixel offset
Answer red sub-pixel value, and the moire fringes region for the second image each blue subpixels, according to correspondence green
Pixel value compensates the corresponding blue subpixels value in the moire fringes region of the second image with blue subpixels offset, to disappear whereby
Except the moire fringes of image.
Because above-mentioned image processing method, module and electronic installation system automatically find out the moire fringes region of image, therefore not
User is needed manually to find out the moire fringes region of image.In addition, above-mentioned image processing method, module and electronic installation may be selected
It is that can reach the effect for reducing moire fringes without using high-resolution Charged Coupled Device or complementary metal oxide semiconductor photosensory assembly,
Therefore product cost can be effectively reduced.
Schema will be coordinated to illustrate described image processing method, module and electronic installation with various embodiments below, however,
Following embodiments are simultaneously not used to the limitation present invention.
[embodiment with the electronic installation of imaging function]
First, Fig. 2 is refer to, Fig. 2 is the block diagram of the electronic installation with imaging function of the embodiment of the present invention.Yu Tu
In 2 embodiment, electronic installation 2 includes System on Chip/SoC 21 and imaging system 22, wherein System on Chip/SoC 21 and imaging system 22 that
This electric property coupling.System on Chip/SoC 21 is the integral chip in electronic installation 2, is controlled into provide control signal with frequency signal
As system 22, so that imaging system 22 is according to control signal photographed scene, and the second figure based on RGB colour gamut is obtained accordingly
Picture, if wherein the first image is with the presence of moire fringes, imaging system 22 compensates the second image, to produce the 3rd image.
After System on Chip/SoC 21 controls 2 photographed scene of imaging system, imaging system 2 can first obtain the color based on Bel's figure
The first image produced by optical filter array.Then, whether imaging system 22 is based on rubbing in ad hoc rules the first image of detecting
That line region.In moire fringes region in the first image, multiple first green subpixel values can be near one another, and multiple second is green
Sub-pixels value can be near one another, and the difference between multiple first green subpixel values and multiple second green subpixel values is then
It is relatively large.Therefore, based on the above, ad hoc rules, which can further derive, includes two sub-rules.First sub-rule is
In the first green of multiple first green sub-pixels in the specific region centered on the selected sub-pixel of the first image
Pixel value is all more than or less than the second green subpixel values of multiple second green sub-pixels in specific region；And second sub-rule
It is the first green sub-pixels average value of multiple first green sub-pixels in specific region and multiple second greens in specific region
The absolute value of difference value between second green sub-pixels average value of sub-pixel is more than the first threshold values.If selected sub-pixel
Meet two sub-rules of above-mentioned ad hoc rules, then imaging system 22 judges selected sub-pixel for rubbing in moire fringes region
That line sub-pixel (in the first image, a moire fringes pixel has four moire fringes sub-pixels of correspondence).Briefly, it is imaged
Whether system 22 can judge each sub-pixel as moire fringes sub-pixel based on ad hoc rules, and and then determine moire fringes area
Domain.
Then, 22 pair of first image of imaging system carries out color gamut conversion, and produces the second image.If not having in the first image
There is moire fringes region, then the second image need not be compensated.If there is moire fringes region in the first image, in the second image also
Corresponding moire fringes region is had, and the sub-pixel value in the moire fringes region of 22 pair of second image of imaging system is compensated, with
Produce the 3rd image (being also the image based on RGB colour gamut).In general, the probability and little that moire fringes occur, therefore
Two or more object in same scene is while the probability for moire fringes occur is very low, therefore assume that and at most only have in a scene
Moire fringes occur in one object, that is, fine and closely woven black and white strip and the yarn fabric of fine texture will not occur simultaneously.One thing
The moire fringes of body generally have two kinds of complementary colors.In an image, some moire fringes can be partially red, and some moire fringes meetings
It is partially blue, and both colour cast colors integrate after be grey, it can be assumed that in an image two kinds of colour casts moire fringes pixel
Number as many, and these moire fringes pixels average value be object script color.From the foregoing, it will be observed that imaging system 2 can
Only to be compensated to multiple blue subpixels values in the moire fringes region of the second image and multiple red sub-pixel values, to disappear
Except the moire fringes.However, the present invention does not limit the mode that imaging system 22 compensates moire fringes.For example, imaging system
22 can also carry out low-pass filtering treatment to each sub-pixel in the moire fringes region of the second image, to eliminate moire fringes.
It should also be noted that above-mentioned ad hoc rules system is stood surely based on foregoing observations result of study, but the present invention is not limited
The fixed cube formula of ad hoc rules, this field has usually intellectual after with reference to the present invention, can added in above-mentioned ad hoc rules
Enter other sub-rules or correct foregoing sub-rule.For example, above-mentioned ad hoc rules can include the 3rd sub-rule, and the 3rd is sub
Rule is the absolute value of the difference value of the first green subpixel values of any two the first neighbouring green sub-pixels in specific region
It is poor that first is respectively smaller than with the absolute value of the difference value of the second green subpixel values of any two the second neighbouring green sub-pixels
Different value and the second difference value.Or, the 3rd sub-rule can be the variation of multiple first green subpixel values in specific region
The variance of number and the second green subpixel values is respectively smaller than the first difference value and the second difference value.For as another example, second
Sub-rule can be modified to the mutual variation of multiple first green subpixel values and multiple second green subpixel values in specific region
Number is more than threshold values.
Sum it up, imaging system 22 is according in multiple first in the specific region centered on selected sub-pixel
Green subpixel values and the second green subpixel values are come whether judge selected sub-pixel be moire fringes sub-pixel.In addition, above-mentioned
The size system of first difference value, the second difference value and threshold values determines according to the mode and actual state of above-mentioned sub-rule is actually realized
It is fixed.
Then, the composition of imaging system 22 is further illustrated, but following explanations is only wherein the one of imaging system 22
Implementation is planted, it is not intended to limiting the invention.Imaging system 22 includes image sensing module 221, cache module 222, figure
As processing module 223 and storage module 224.The electric property coupling cache module 222 of image sensing module 221, cache module 222 is electrical
Coupling image processing module 223, and the electric property coupling storage module 224 of image processing module 223.Image sensing module 221 has
Color filter array and multiple photosensitive units based on Bel's figure, it is used to photographed scene, and obtains the color based on Bel's figure
The first image produced by color optical filter array.Cache module 222 is to cache the first image.Image processing module 223 is used to
The first image is received, the moire fringes region of the first image is detected, and color gamut conversion is carried out to the first image, to produce based on red
Second image of turquoise colour gamut.Then, when the first image has moire fringes region, image processing module 223 can compensate the second figure
Picture, to produce the 3rd image.Image processing module 223 can export the second image (when the first image does not have moire fringes region)
Or the 3rd image (when the first image has moire fringes region) give storage module 224, and storage module 224 is then to store the
Two images or the 3rd image.
Then, the composition of image processing module 223 is further illustrated, but following explanations is only image processing module
223 one of which implementation, it is not intended to limiting the invention.Image processing module 223 includes arrangement for detecting 2231, turned
Changing device 2232 and compensation device 2233.The electric property coupling cache module 222 of arrangement for detecting 2231 and compensation device 2233, converting means
2232 electric property coupling cache modules 222 and compensation device 2233 are put, and compensation device 2233 couples storage module 224.Detecting dress
Put 2231 and receive the first image from cache module 222, and to detect whether the first image has moire fringes region, with output mole
Line area information is to compensation device 2233.Then, the secondth image of reception of compensation device 2233 and moire fringes area information, and according to
Determine whether to compensate the second image according to moire fringes area information.If moire fringes area information represents that the first image has no
The generation of moire fringes, then compensation device 2233 directly the second image is exported to storage module 224.If moire fringes zone information table
Show that the first image has moire fringes, then compensation device compensates the sub-pixel in the moire fringes region of the second image, and produces
3rd image gives storage storage module 224.
It should also be noted that moire fringes area information at least includes the position of moire fringes sub-pixel, to represent first and second
The position of multiple moire fringes sub-pixels of image.In wherein a kind of embodiment, compensation device 2233 can be to the second image
The sub-pixel in moire fringes region carries out low-pass filtering treatment, to produce the 3rd image.If in addition, not wanting to make the 3rd image become mould
Paste, in another embodiment of the present invention, moire fringes area information further includes red sub-pixel offset and blue subpixels
Offset, and compensation device 2233 is according to red sub-pixel offset and moire fringes of the blue subpixels offset to the second image
The blue subpixels in region are compensated with red sub-pixel, to produce the 3rd image.Blue subpixels offset system is according to the
Average value, the average value of all second green subpixel values of all first green subpixel values in the moire fringes region of one image
With the average value of all blue subpixels values and obtain, and moire fringes region of the red sub-pixel offset system according to the first image
The average value of all first green subpixel values, the average value of all second green subpixel values and all red sub-pixel values
Average value and obtain.For each red sub-pixel in the moire fringes region of the second image, compensation device 2233 is foundation
Its corresponding green subpixel values compensates the corresponding red son in the moire fringes region of the second image with red sub-pixel offset
Pixel value, and each blue subpixels in the moire fringes region for the second image, compensation device 2233 are according to its correspondence
Green subpixel values and blue subpixels offset compensate the second image moire fringes region in corresponding blue subpixels value.
Sum it up, due to being difficult to be obtained through digital image processing techniques in RGB colour gamut or YC dyeing domain
The feature of moire fringes is obtained, and can not effectively distinguish the difference of moire fringes and actual scenery, image more can not be automatically compensated
The above-mentioned image of moire fringes, therefore above-mentioned image processing module 223 is to produced by the color filter array based on Bel's figure
The first image detected, to find out the moire fringes region of the first image, and to the second image based on RGB colour gamut
The blue subpixels in moire fringes region compensated with red sub-pixel, to avoid reducing image definition whereby.Other one
Aspect, the above-mentioned detecting of image processing module 223 and the mode of compensation moire fringes are simple without excessively complexity, and only needing seldom
Storage resources and amount of calculation, therefore above-mentioned image processing module 223 can be not only used for the static image of processing, more can be used for place
Manage real-time video.
[embodiment of image processing method]
Please referring next to Fig. 3, Fig. 3 is the flow chart of the image processing method of the embodiment of the present invention.Fig. 3 image processing method
Method goes for above-mentioned image processing module 223, but the present invention does not limit to perform Fig. 3 image processing method
Object.First, in step S31, obtain based on the first image produced by the color filter array of Bel's figure.Then, in step
In rapid S32, whether the first image produced by detecting the color filter array dashed forward based on Bel has moire fringes region, wherein
The mode of auspicious side as described earlier, that is, multiple first green subpixel values in the first image and the multiple second greens
Sub-pixel value determines whether moire fringes region, wherein herein multiple first green subpixel values in the first image with it is multiple
Second green subpixel values are multiple first green subpixel values in the specific region in the first image and the multiple second greens
Sub-pixel value, specific region is at least the positive rhombus or square of 5x5 sub-pixel, and the shape of specific region is sentenced by being chosen
Whether disconnected be that the type of sub-pixel of moire fringes sub-pixel is determined.
If the first image has moire fringes region, step S33 can be performed then, if moire fringes are not present in the first image
Region, then step S34 can then be performed.In step S33, the first image is subjected to color gamut conversion, red indigo plant is based on to obtain
Second image in green domain, and compensated for the multiple sub-pixels of part in the moire fringes region of the second image, to produce
3rd image, wherein the moire fringes region of the second image corresponds to the moire fringes region of the first image.In step S34, by
One image carries out color gamut conversion, to produce the second image.Step S32 and step S33 details are as described below, but step S32 with
Step S33 details is simultaneously not used to the limitation present invention.
[embodiment of the step of detecting moire fringes region]
Please referring next to Fig. 4, the flow chart for the step of Fig. 4 is the detecting moire fringes region of the embodiment of the present invention.Fig. 3 step
Rapid S32 can include multiple step S321~S327.First, in step S321, choose multiple not yet selected in the first image
One of sub-pixel selected.In general, step S321 can sequentially select the first image through specific scanning sequence
Sub-pixel, however, the present invention do not limit but selection the first image sub-pixel mode.Due to the class of selected sub-pixel
Type is probably the first green sub-pixels, the second green sub-pixels, red sub-pixels or blue subpixels, therefore, in step S322,
Type according to selected sub-pixel determines the shape of specific region.For example, if the type of the sub-pixel of selection is the
One green sub-pixels or the second green sub-pixels, then the shape of the specific region can be the positive rhombus (example of 5x5 sub-pixel
Such as Fig. 6, the specific region that sub-pixel Gb12, Gr23, Gb23, Gr33, Gb32, Gr32, Gb21 and Gr22 are formed)；If selection
The type of sub-pixel be red sub-pixel or blue subpixels, then the shape of the specific region can be 5x5 sub-pixel
Square (such as Fig. 8, the specific region that sub-pixel Gb12, Gr23, B12, B32, B34 and B14 are formed).However, this hair
The bright shape for being not intended to limit above-mentioned specific region.
Then, in step S323, according to multiple first green subpixel values in specific region and the multiple second greens
Sub-pixel value judges whether selected sub-pixel is moire fringes sub-pixel.It should also be noted that step S323 judgment mode system
It is relevant with the conclusion mode of foregoing ad hoc rules.Exemplified by there is first and second foregoing sub-rule by ad hoc rules, given zone
The action that any one first green subpixel values in domain can be subtracted each other with the second neighbouring green subpixel values, it is many to obtain
Individual difference value.If the polarity of all difference values is identical (be all just or be all negative), then it represents that selected sub-pixel meets
One sub-rule.The first green sub-pixels average value in other specific region and the difference between the second green sub-pixels average value
If the absolute value of value is more than threshold values, then it represents that selected sub-pixel meets the second sub-rule.If selected sub-pixel meets
First and second sub-rule, then it represents that selected sub-pixel is moire fringes pixel.
Then, if selected sub-pixel be moire fringes sub-pixel, in step S324, judge selected pixel as
Moire fringes sub-pixel；If non-selected sub-pixel is moire fringes sub-pixel, in step S325, selected pixel is judged
It is not moire fringes sub-pixel.Then, in step S326, judge whether also have non-selected sub-pixel in the first image.If
Still there is non-selected sub-pixel, then described image processing method returns to step S32；If all sub-pixels are all in the first image
It is selected, to determine whether moire fringes sub-pixel, then described image processing method then performs step S327.In step S327
In, judge in the first image whether at least one moire fringes sub-pixel.If there is at least one moire fringes sub-pixel, then it represents that the
One image has moire fringes region, therefore then step S33 can be performed, to eliminate moire fringes；If none of moire fringes
Pixel, then it represents that moire fringes are not present in the first image, therefore step S34 can be performed, and the second image need not be compensated again
Processing.
[embodiment for the step of being compensated to moire fringes region]
Please referring next to Fig. 5, Fig. 5 is flow chart the step of being compensated to moire fringes region of the embodiment of the present invention..
Fig. 3 step S33 can include multiple step S331~S334.First, in step S331, the moire fringes of the first image are calculated
The average value Gr_avg of first green subpixel values of all first green sub-pixels in region, all second green sub-pixels
The average value Gb_avg of second green subpixel values, the average value R_avg of the red sub-pixel value of all red sub-pixels and institute
There is the average value B_avg of the blue subpixels value of blue subpixels.Then, in step S332, according to the multiple first green
The average value Gr_avg of pixel value, the average value Gb_avg of multiple second green subpixel values are flat with multiple blue subpixels values
Average B_avg obtains blue subpixels offset CB, and average value Gr_avg according to multiple first green subpixel values, many
The average value Gb_avg of individual second green subpixel values and the average value R_avg of multiple red sub-pixel values obtain red sub-pixel
Offset CR, wherein red sub-pixel offset CR and blue subpixels offset CB can be for describing the true color of scenery
It is color.
Then, in step S333, color gamut conversion is carried out to the first image, to produce the second image, wherein the second image
Moire fringes region correspond to the first image moire fringes region.Afterwards, in step S334, for the moire fringes of the second image
Each red sub-pixel in region, the second image is compensated according to correspondence green subpixel values G and red sub-pixel offset CR
Moire fringes region in red sub-pixel red sub-pixel value R, and for the second image moire fringes region it is each
Individual blue subpixels, the moire fringes area of the second image is compensated according to correspondence green subpixel values G and blue subpixels offset CB
The blue subpixels value B of blue subpixels in domain.Step S334 compensates only for each in the moire fringes region of the second image
Red sub-pixel and blue subpixels, without being compensated to green sub-pixels.It should also be noted that for color expression way
Difference, above-mentioned blue subpixels offset CB and red sub-pixel offset CR expression way and compensation red sub-pixel with
The details of blue subpixels can be slightly different.
For the example that R/G and B/G is used with color expression way, blue subpixels offset CB can be expressed as CB=
2 × B_avg/ (Gr_avg+Gb_avg), and red sub-pixel offset CR can be expressed as CR=2 × R_avg/ (Gr_avg+
Gb_avg).If in addition, making the blue subpixels value B of the blue subpixels in the moire fringes region of the second image after overcompensation
For B1, and the red sub-pixel value R of the red sub-pixel in the moire fringes region of the second image is made to be R1 after overcompensation, then
The red sub-pixel value R1 that blue subpixels value B1 after compensation can be expressed as after B1=G × CB, and compensation can be expressed as
R1=G × CR.
For the example that R-G and B-G is used with color expression way, blue subpixels offset CB can be expressed as CB=
B_avg- (Gr_avg+Gb_avg)/2, and red sub-pixel offset CR can be expressed as CR=R_avg- (Gr_avg+Gb_
avg)/2.If in addition, the blue subpixels value B for making the blue subpixels in the moire fringes region of the second image is after overcompensation
B1, and make the red sub-pixel value R of the red sub-pixel in the moire fringes region of the second image be R1 after overcompensation, then mend
The red sub-pixel value R1 that blue subpixels value B1 after repaying can be expressed as after B1=G+CB, and compensation can be expressed as R1=
G+CR.Sum it up, above-mentioned red sub-pixel offset CR and blue subpixels offset CB representation and compensation are red
Sub-pixels and the details of blue subpixels are all not used to the limitation present invention.
[whether detecting has the embodiment in moire fringes region]
Based on above-mentioned content, it will be described below detecting a kind of concrete instance in moire fringes region.Fig. 6 is refer to, Fig. 6 is
Whether the detecting of the embodiment of the present invention has moire fringes region based on the first image produced by the color filter array of Bel's figure
Schematic diagram.In 4A, institute is the second green sub-pixels Gb22 by the selected sub-pixel of institute in the first image, therefore given zone
Domain can be the positive rhombus of 5x5 sub-pixel (size of specific region is not used to the limitation present invention), therefore, with the second green
The first green sub-pixels in the specific region at pixel Gb22 centers and the second green sub-pixels include Gb22, Gb12, Gr23,
Gb23, Gr33, Gb32, Gr32, Gb21 and G r22.
Then, the second green sub-pixels Gb22 four first green sub-pixels Gr23, Gr33, Gr32 adjacent thereto are calculated
Four difference values, the second green sub-pixels Gb21 two the first green sub-pixels Gr32 adjacent thereto between Gr22 with
Two difference values, the second green sub-pixels Gb32 two first green sub-pixels Gr33 and Gr32 adjacent thereto between Gr22
Between two difference values, between the second green sub-pixels Gb23 two first green sub-pixels Gr23 and Gr33 adjacent thereto
Two difference values and the second green sub-pixels Gb12 two first green sub-pixels Gr22 and Gr23 adjacent thereto between
Two difference values, to judge whether the second green sub-pixels Gb22 meets the first sub-rule.If all differences value be all on the occasion of
Or be all negative value, then it represents that first all green sub-pixels Gr23, Gr33, Gr32 and Gr22 are all more than or smaller than all
Second green sub-pixels Gb12, Gb21, Gb23, Gb32 and Gb22, therefore may determine that the second green sub-pixels Gb22 meets first
Sub-rule.
Then, the average value of first green sub-pixels Gr23, Gr33, Gr32 and Gr22 the first green subpixel values is calculated
With the average value of second green sub-pixels Gb12, Gb21, Gb23, Gb32 and Gb22 the second green subpixel values.If multiple
The absolute value of difference value between the average value of the average value of one green subpixel values and multiple second green subpixel values is more than
Threshold values, then may determine that whether the second green sub-pixels Gb22 meets the second sub-rule.When the second green sub-pixels Gb22 meets
First and second above-mentioned sub-rule, then it represents that the second green sub-pixels Gb22 is moire fringes sub-pixel.
Referring to Fig. 6 and Fig. 7, Fig. 7 is the first figure produced by Fig. 6 color filter array based on Bel's figure
The schematic diagram of the part sub-pixel value of picture.In Fig. 7, first green sub-pixels Gr23, Gr33, Gr32 and Gr22 the first green
Sub-pixel value is respectively 74,74,70 and 72, and the second of second green sub-pixels Gb12, Gb21, Gb23, Gb32 and Gb22 is green
Sub-pixels value is respectively 57,60,60,58 and 57.Through computing it is known that above-mentioned all difference values are all negative value, and
The average value of multiple first green subpixel values and the absolute value of the difference value of the average value of multiple second green subpixel values are big
In threshold values (assuming that threshold values is 5, but the present invention is not so limited).Therefore, it follows that the second green sub-pixels Gb22 is to rub
That line sub-pixel.
[whether detecting has another embodiment in moire fringes region]
Based on above-mentioned content, it will be described below detecting another concrete instance in moire fringes region.Fig. 8 is of the invention another
Whether the detecting of one embodiment has showing for moire fringes region based on the first image produced by the color filter array of Bel's figure
It is intended to.In 4C, institute is red sub-pixel B23 by the selected sub-pixel of institute in the first image, therefore specific region can be
The square of 5x5 pixel, therefore, with the first green sub-pixels and second in the specific region at red sub-pixel B23 centers
Green sub-pixels include Gb22, Gr23, Gb23, Gr33, Gb12, Gr22, Gr32, Gb32, Gb33, Gr34, Gr24 and Gb13.
Then, the second green sub-pixels Gb22 four first green sub-pixels Gr23, Gr33, Gr32 adjacent thereto are calculated
Four difference values, the second green sub-pixels Gb23 four the first green sub-pixels Gr23 adjacent thereto between Gr22,
Four difference values, the second green sub-pixels Gb12 the first green sub-pixels adjacent thereto between Gr33, Gr24 and Gr34
The difference value between difference value, the second green sub-pixels Gb13 the first green sub-pixels Gr23 adjacent thereto between Gr23,
Difference value and the second green sub-pixels between second green sub-pixels Gb32 the first green sub-pixels Gr33 adjacent thereto
Difference value between Gb33 the first green sub-pixels Gr33 adjacent thereto, to judge whether the second green sub-pixels Gb22 meets
First sub-rule.If all differences value be all on the occasion of or be all negative value, then it represents that all the first green sub-pixels Gr23,
Gr33, Gr22, Gr32, Gr34 and Gr24 are all more than or the second smaller than all green sub-pixels Gb22, Gb23, Gb12,
Gb32, Gb33 and Gb13, therefore may determine that whether red sub-pixel B23 meets the first sub-rule.
Then, first green sub-pixels Gr23, Gr33, Gr22, Gr32, Gr34 and Gr24 the first green sub-pixels are calculated
The average value of value and second green sub-pixels Gb22, Gb23, Gb12, Gb32, Gb33 and Gb13 the second green subpixel values
Average value.If the difference between the average value of the average value of multiple first green subpixel values and multiple second green subpixel values
The absolute value of value is more than threshold values, then may determine that whether red sub-pixel B23 meets the second sub-rule.As red sub-pixel B23
Meet first and second above-mentioned sub-rule, then it represents that red sub-pixel B23 is moire fringes sub-pixel.
Referring to Fig. 8 and Fig. 9, Fig. 9 is the first figure produced by Fig. 8 color filter array based on Bel's figure
The schematic diagram of the part sub-pixel value of picture.In Fig. 9, first green sub-pixels Gr23, Gr33, Gr22, Gr32, Gr34 and Gr24
The first green subpixel values be respectively 74,73,73,73,73 and 72, and the second green sub-pixels Gb22, Gb23, Gb12,
Gb32, Gb33 and Gb13 the second green subpixel values are respectively 57,57,59,56,57 and 60.Through computing it is known that on
It is all negative value to state all difference values, and multiple first green sub-pixels average value values with multiple second green subpixel values
The absolute value of the difference value of average value be more than threshold values (assuming that threshold values be 5, but the present invention and as limit).Therefore, it follows that
Red sub-pixel B23 is moire fringes sub-pixel.
It should be noted that, although it is above-mentioned with Fig. 6~Fig. 9 as an example come illustrate the present invention detecting the first image moire fringes
The details in region, but example such as Fig. 6~Fig. 9 and it is not used to the limitation present invention.Still further aspect, in Fig. 6~Fig. 9 example
In, for the sub-pixel of each selection, its difference value computing for only making 12 times and the average value computing of 2 times, therefore detect
The computational complexity for surveying the step of whether the first image has moire fringes region is not too large.
[the possibility effect of embodiment]
In summary described, the embodiments of the invention provide a kind of image processing method and module.Described image processing side
Method can be for being detected, automatically to obtain with module based on the first image produced by the color filter array of Bel's figure
The first image is being converted into the second figure based on RGB colour gamut to the moire fringes region of the first image, and further
As after, the moire fringes region of the second image is compensated using the mode for not losing definition, to produce the 3rd without moire fringes
Image.The implementation complexity of still further aspect, described image processing method and module is not high, and may be selected without using high-resolution
Charged Coupled Device or complementary metal oxide semiconductor photosensory assembly be that can reach the effect for reducing moire fringes, therefore can effectively drop
Low product cost.
Embodiments of the invention are the foregoing is only, it is not limited to the scope of patent protection of the present invention.Any
Art personnel, are not departing from spirit and scope of the invention, and the change made and the equivalence replacement of retouching are still this hair
In bright scope of patent protection.
Claims (28)
1. a kind of image processing method, including：
Whether detecting has moire fringes region based on one first image produced by the color filter array of Bel's figure；Comprising：
According to multiple first green subpixel values of multiple first green sub-pixels of first image and multiple second green sub- pictures
Multiple second green subpixel values of element judge in first image whether to have moire fringes region；
First image is subjected to color gamut conversion, to produce one second image based on RGB colour gamut；And
If first image has moire fringes region, enter for the multiple sub-pixels of part in the moire fringes region of second image
Row compensation, to produce one the 3rd image, the wherein moire fringes region of second image corresponds to the moire fringes area of first image
Domain；
Wherein judge this according to those first green subpixel values and those second green subpixel values of first image
The step of whether having moire fringes region in first image includes：
Whether be all more than according to those first green subpixel values of first image or all small first image those second
Green subpixel values, and those the first green subpixel values of first image average value and those second green sub-pixels
Whether the absolute value of the difference value of the average value of value is more than a threshold values, to judge whether first image has the moire fringes region.
2. those first and second green sub-pixels of image processing method as claimed in claim 1, wherein first image
It is worth for those first and second green sub-pixels in one of first image specific region.
3. the size of image processing method as claimed in claim 2, the wherein specific region be at least 5x5 sub-pixel just
Rhombus or square.
4. image processing method as claimed in claim 2, wherein one of sub-pixel in first image is sequentially selected,
According to multiple first greens of multiple first green sub-pixels in the specific region centered on the selected sub-pixel
Sub-pixel value determines whether the sub-pixel is moire fringes with multiple second green subpixel values of multiple second green sub-pixels
Moire fringes sub-pixel in sub-pixel, wherein first image defines the moire fringes region.
5. the shape system of image processing method as claimed in claim 4, the wherein specific region is decided by the selected son
The type of pixel, when the selected sub-pixel is first green sub-pixels or second green sub-pixels, the then given zone
Domain is shaped as a positive rhombus, and when the selected sub-pixel is a blue subpixels or a red sub-pixel, then this is specific
Region be shaped as one square.
6. a kind of image processing method, including：
Whether detecting has moire fringes region based on one first image produced by the color filter array of Bel's figure；Comprising：
According to multiple first green subpixel values of multiple first green sub-pixels of first image and multiple second green sub- pictures
Multiple second green subpixel values of element judge in first image whether to have moire fringes region；
First image is subjected to color gamut conversion, to produce one second image based on RGB colour gamut；And
If first image has moire fringes region, enter for the multiple sub-pixels of part in the moire fringes region of second image
Row compensation, to produce one the 3rd image, the wherein moire fringes region of second image corresponds to the moire fringes area of first image
Domain；
Wherein judge this according to those first green subpixel values and those second green subpixel values of first image
The step of whether having moire fringes region in first image includes：
Whether one first difference value is less than according to the Variant statistical value between those first green subpixel values of first image,
Whether Variant statistical value between those second green subpixel values of first image is less than one second difference value, and should
Whether the Variant statistical value between a little first green subpixel values and those second green subpixel values is more than a threshold values, to judge
Whether there is moire fringes region in first image.
7. those first and second green sub-pixels of image processing method as claimed in claim 6, wherein first image
It is worth for those first and second green sub-pixels in one of first image specific region.
8. the size of image processing method as claimed in claim 7, the wherein specific region be at least 5x5 sub-pixel just
Rhombus or square.
9. image processing method as claimed in claim 7, wherein one of sub-pixel in first image is sequentially selected,
According to multiple first greens of multiple first green sub-pixels in the specific region centered on the selected sub-pixel
Sub-pixel value determines whether the sub-pixel is moire fringes with multiple second green subpixel values of multiple second green sub-pixels
Moire fringes sub-pixel in sub-pixel, wherein first image defines the moire fringes region.
10. the shape system of image processing method as claimed in claim 9, the wherein specific region is decided by the selected son
The type of pixel, when the selected sub-pixel is first green sub-pixels or second green sub-pixels, the then given zone
Domain is shaped as a positive rhombus, and when the selected sub-pixel is a blue subpixels or a red sub-pixel, then this is specific
Region be shaped as one square.
11. a kind of image processing method, including：
Whether detecting has moire fringes region based on one first image produced by the color filter array of Bel's figure；
First image is subjected to color gamut conversion, to produce one second image based on RGB colour gamut；And
If first image has moire fringes region, enter for the multiple sub-pixels of part in the moire fringes region of second image
Row compensation, to produce one the 3rd image, the wherein moire fringes region of second image corresponds to the moire fringes area of first image
Domain；The multiple sub-pixels of part are multiple blue subpixels in the moire fringes region of second image and multiple red sub- pictures
Element；
A red sub-pixel offset and a blueness are wherein obtained according to the sub-pixel value in the moire fringes region of first image
Sub-pixel offset, wherein the red sub-pixel offset are with the blue subpixels offset system to compensate second figure respectively
Multiple red sub-pixels and multiple blue subpixels in the moire fringes region of picture.
12. image processing method as claimed in claim 11, wherein the blue subpixels offset system is according to first image
The moire fringes region the first green subpixel values average value, the average value of the second green subpixel values and first image
Blue subpixels value average value and obtain, and the moire fringes area of the red sub-pixel offset system according to first image
The average value of those first green subpixel values in domain, the average value of those the second green subpixel values and first image it is red
The average value of sub-pixels value and obtain.
13. image processing method as claimed in claim 11, wherein for the moire fringes region of second image this be red
Sub-pixels, the green subpixel values according to the green sub-pixels in corresponding second image of the red sub-pixel are red with this
Sub-pixels offset compensates a red sub-pixel value of the red sub-pixel, and for the moire fringes region of the second image
The blue subpixels, the green subpixel values according to the green sub-pixels in corresponding second image of the blue subpixels
A blue subpixels value of the blue subpixels is compensated with the blue subpixels offset.
14. a kind of image processing module, including：
One arrangement for detecting, rubs to detect based on whether one first image produced by the color filter array of Bel's figure has
That line region；Comprising：According to multiple first green subpixel values of multiple first green sub-pixels of first image and many
Multiple second green subpixel values of individual second green sub-pixels judge in first image whether to have moire fringes region；
One conversion equipment, electric property coupling arrangement for detecting, first image is carried out into color gamut conversion, to produce based on red green
One second image of blue domain；And
One compensation device, the electric property coupling arrangement for detecting and the conversion equipment, if first image has moire fringes region, pin
The multiple sub-pixels of part in the moire fringes region of second image are compensated, to produce one the 3rd image, wherein this second
The moire fringes region of image corresponds to the moire fringes region of first image；
Wherein judge this according to those first green subpixel values and those second green subpixel values of first image
The step of whether having moire fringes region in first image includes：
Whether be all more than according to those first green subpixel values of first image or all small first image those second
Green subpixel values, and those the first green subpixel values of first image average value and those second green sub-pixels
Whether the absolute value of the difference value of the average value of value is more than a threshold values, to judge whether first image has the moire fringes region.
15. those first and second green of image processing module according to claim 14, wherein first image
Pixel value is those first and second green sub-pixels in the specific region in first image.
16. the size of image processing module according to claim 15, the wherein specific region is at least 5x5 sub-pixel
Positive rhombus or square.
17. image processing module according to claim 15, wherein the arrangement for detecting be additionally operable to sequentially to select this first
One of sub-pixel in image is green according to multiple first in the specific region centered on the selected sub-pixel
Multiple first green subpixel values of sub-pixels are determined with multiple second green subpixel values of multiple second green sub-pixels
Whether the fixed sub-pixel is moire fringes sub-pixel, and wherein the moire fringes sub-pixel in first image defines the moire fringes area
Domain.
18. the shape of image processing module according to claim 17, the wherein specific region is decided by selected be somebody's turn to do
The type of sub-pixel, when the selected sub-pixel is first green sub-pixels or second green sub-pixels, then this is specific
Region is shaped as a positive rhombus, and when the selected sub-pixel is a blue subpixels or a red sub-pixel, then the spy
That determines region is shaped as a square.
19. a kind of image processing module, including：
One arrangement for detecting, rubs to detect based on whether one first image produced by the color filter array of Bel's figure has
That line region；Comprising：According to multiple first green subpixel values of multiple first green sub-pixels of first image and many
Multiple second green subpixel values of individual second green sub-pixels judge in first image whether to have moire fringes region；
One conversion equipment, electric property coupling arrangement for detecting, first image is carried out into color gamut conversion, to produce based on red green
One second image of blue domain；And
One compensation device, the electric property coupling arrangement for detecting and the conversion equipment, if first image has moire fringes region, pin
The multiple sub-pixels of part in the moire fringes region of second image are compensated, to produce one the 3rd image, wherein this second
The moire fringes region of image corresponds to the moire fringes region of first image；
Wherein judge this according to those first green subpixel values and those second green subpixel values of first image
The step of whether having moire fringes region in first image includes：
Whether one first difference value is less than according to the Variant statistical value between those first green subpixel values of first image,
Whether Variant statistical value between those second green subpixel values of first image is less than one second difference value, and should
Whether the Variant statistical value between a little first green subpixel values and those second green subpixel values is more than a threshold values, to judge
Whether there is moire fringes region in first image.
20. those first and second green of image processing module according to claim 19, wherein first image
Pixel value is those first and second green sub-pixels in the specific region in first image.
21. the size of image processing module according to claim 20, the wherein specific region is at least 5x5 sub-pixel
Positive rhombus or square.
22. image processing module according to claim 20, wherein the arrangement for detecting be additionally operable to sequentially to select this first
One of sub-pixel in image is green according to multiple first in the specific region centered on the selected sub-pixel
Multiple first green subpixel values of sub-pixels are determined with multiple second green subpixel values of multiple second green sub-pixels
Whether the fixed sub-pixel is moire fringes sub-pixel, and wherein the moire fringes sub-pixel in first image defines the moire fringes area
Domain.
23. the shape of image processing module according to claim 22, the wherein specific region is decided by selected be somebody's turn to do
The type of sub-pixel, when the selected sub-pixel is first green sub-pixels or second green sub-pixels, then this is specific
Region is shaped as a positive rhombus, and when the selected sub-pixel is a blue subpixels or a red sub-pixel, then the spy
That determines region is shaped as a square.
24. a kind of image processing module, including：
One arrangement for detecting, rubs to detect based on whether one first image produced by the color filter array of Bel's figure has
That line region；
One conversion equipment, electric property coupling arrangement for detecting, first image is carried out into color gamut conversion, to produce based on red green
One second image of blue domain；And
One compensation device, the electric property coupling arrangement for detecting and the conversion equipment, if first image has moire fringes region, pin
The multiple sub-pixels of part in the moire fringes region of second image are compensated, to produce one the 3rd image, wherein this second
The moire fringes region of image corresponds to the moire fringes region of first image；
Wherein the multiple sub-pixels of part for multiple blue subpixels in the moire fringes region of second image with it is multiple red
Sub-pixels；
A red sub-pixel offset and a blueness are wherein obtained according to the sub-pixel value in the moire fringes region of first image
Sub-pixel offset, wherein the red sub-pixel offset are with the blue subpixels offset system to compensate second figure respectively
Multiple red sub-pixels and multiple blue subpixels in the moire fringes region of picture.
25. image processing module according to claim 24, wherein the blue subpixels offset system is according to first figure
The average value of the green subpixel values of average value second of first green subpixel values in the moire fringes region of picture and first figure
The average value of the blue subpixels value of picture and obtain, and the moire fringes of the red sub-pixel offset system according to first image
The average value of those first green subpixel values in region, the average value of those the second green subpixel values and first image
The average value of red sub-pixel value and obtain.
26. image processing module according to claim 24, wherein this for the moire fringes region of second image
Red sub-pixel, the green subpixel values according to the green sub-pixels in corresponding second image of the red sub-pixel are with being somebody's turn to do
Red sub-pixel offset compensates a red sub-pixel value of the red sub-pixel, and for the moire fringes area of the second image
The blue subpixels in domain, the green sub-pixels according to the green sub-pixels in corresponding second image of the blue subpixels
Value compensates a blue subpixels value of the blue subpixels with the blue subpixels offset.
27. a kind of electronic equipment, it is characterised in that including：Control unit and imaging unit；Wherein, the control unit is to control
Make the imaging unit；The imaging unit includes：Image processing module as described in claim any one of 14-26.
28. electronic equipment as claimed in claim 27, in addition to：
Image sensing module, to obtain based on one first image produced by the color filter array of Bel's figure；
Cache module, and the image sensing module electric property coupling, to cache first image；And
Storage module, the second image or the 3rd image to store image processing module output.
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Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105303530B (en) * | 2015-09-30 | 2018-05-08 | 天津大学 | Textile image moire fringes removing method based on low-rank sparse matrix decomposition |
| CN107016343A (en) * | 2017-03-06 | 2017-08-04 | 西安交通大学 | A kind of traffic lights method for quickly identifying based on Bel's format-pattern |
| CN108234970B (en) * | 2018-01-04 | 2021-05-21 | 努比亚技术有限公司 | Image processing method, terminal and computer readable storage medium |
| CN108615227B (en) * | 2018-05-08 | 2021-02-26 | 浙江大华技术股份有限公司 | Image moire inhibition method and device |
| CN108830795B (en) * | 2018-06-14 | 2022-05-06 | 合肥市商巨智能装备有限公司 | Method for removing moire in image detection process |
| CN109146799B (en) * | 2018-07-11 | 2022-04-08 | 天津大学 | Moire pattern removing method based on multiple images |
| TWI733286B (en) | 2019-12-25 | 2021-07-11 | 瑞昱半導體股份有限公司 | Method for determining moire pattern, method for suppressing moire pattern and circuit system thereof |
| CN113630590B (en) * | 2020-05-08 | 2024-06-25 | 瑞昱半导体股份有限公司 | Method for removing color bands of images |
| CN114449150A (en) * | 2020-10-30 | 2022-05-06 | 中兴通讯股份有限公司 | Photographing method, photographing device, terminal and computer-readable storage medium |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001245311A (en) * | 2000-02-28 | 2001-09-07 | Matsushita Electric Ind Co Ltd | Solid-state color image pickup device |
| WO2004112401A1 (en) * | 2003-06-12 | 2004-12-23 | Nikon Corporation | Image processing method, image processing program, image processor |
| KR100699831B1 (en) * | 2004-12-16 | 2007-03-27 | 삼성전자주식회사 | Method and apparatus for interpolating Bayer-pattern color signals |
| KR100699834B1 (en) * | 2005-02-07 | 2007-03-27 | 삼성전자주식회사 | Method and apparatus for processing bayer-pattern color digital image signal |
| JP4506616B2 (en) * | 2005-08-25 | 2010-07-21 | セイコーエプソン株式会社 | Image display apparatus, image processing method, and program |
| JP4742898B2 (en) * | 2006-02-15 | 2011-08-10 | セイコーエプソン株式会社 | Image processing method, image processing program, recording medium, and projector |
| CA2683636C (en) * | 2007-04-11 | 2014-01-28 | Red.Com, Inc. | Video camera |
| CN101489142B (en) * | 2008-01-15 | 2010-09-22 | 华晶科技股份有限公司 | Colored interpolation method for digital image |
| BR112012008515B1 (en) * | 2009-10-13 | 2021-04-27 | Canon Kabushiki Kaisha | APPARATUS AND IMAGE PROCESSING METHOD, AND RECORDING MEDIA |
| CN103828345B (en) * | 2011-09-29 | 2017-03-22 | 富士胶片株式会社 | Apparatus, method and image pickup apparatus for image processing |
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2013
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| TWI547169B (en) | 2016-08-21 |
| CN104717474A (en) | 2015-06-17 |
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